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Computational inference of homologous gene structures in the human genome.

ABSTRACT: With the human genome sequence approaching completion, a major challenge is to identify the locations and encoded protein sequences of all human genes. To address this problem we have developed a new gene identification algorithm, GenomeScan, which combines exon-intron and splice signal models with similarity to known protein sequences in an integrated model. Extensive testing shows that GenomeScan can accurately identify the exon-intron structures of genes in finished or draft human genome sequence with a low rate of false-positives. Application of GenomeScan to 2.7 billion bases of human genomic DNA identified at least 20,000-25,000 human genes out of an estimated 30,000-40,000 present in the genome. The results show an accurate and efficient automated approach for identifying genes in higher eukaryotic genomes and provide a first-level annotation of the draft human genome.

SUBMITTER: Yeh RF

PROVIDER: S-EPMC311055 | biostudies-literature | 2001 May

REPOSITORIES: biostudies-literature

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Computational inference of homologous gene structures in the human genome.

Yeh R F RF Lim L P LP Burge C B CB

Genome research 20010501 5

With the human genome sequence approaching completion, a major challenge is to identify the locations and encoded protein sequences of all human genes. To address this problem we have developed a new gene identification algorithm, GenomeScan, which combines exon-intron and splice signal models with similarity to known protein sequences in an integrated model. Extensive testing shows that GenomeScan can accurately identify the exon-intron structures of genes in finished or draft human genome sequ ...[more]

PMID: 11337476

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Project description:[This corrects the article DOI: 10.1371/journal.pgen.1008922.].

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